An evident challenge ahead for the integrated circuit (IC) industry is the investigation and
development of methods to reduce the design complexity ensuing from growing process …

Accurate power modeling is crucial for energy-efficient CPU design and runtime
management. An ideal power modeling framework needs to be accurate yet fast, achieve …

This paper introduces PRIMAL, a novel learning-based framework that enables fast and
accurate power estimation for ASIC designs. PRIMAL trains machine learning (ML) models …

This paper presents a novel runtime power modeling methodology which automatically
identifies key signals for power dissipation of any RTL design. The toggle-pattern matrix is …

Accurate and efficient on-chip power modeling is crucial to runtime power, energy, and
voltage management. Such power monitoring can be achieved by designing and integrating …

Power efficiency has become a nonneglected issue of modern CPUs. Therefore, accurate
and robust power models are highly demanded in academia and industry. However, it is …

This paper presents a sample-based energy simulation methodology that enables fast and
accurate estimations of performance and average power for arbitrary RTL designs. Our …

Energy efficiency has become the core issue of modern CPUs, and it is difficult for existing
power models to balance speed, generality, and accuracy. This paper introduces McPAT …

Early stage power estimation is critical for SoC architecture exploration and validation in
modern VLSI design, but real-time, long time interval and accurate estimation is still …

The architecture design of peta-scale computing systems is complex and presents lots of
difficulties to designs, as current tools lack support for relevant features of future scenarios …